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Monitoring Public Interest and Sentiment on Basic Income: Using Google and Twitter Data in the U.S

Author

Listed:
  • Lee Soomi

    (4358 University of La Verne , La Verne, CA, USA)

  • Park Taeyong

    (Carnegie Mellon University – Qatar, Education City, Qatar)

Abstract

This study uses data from Google Trends and Twitter to analyze how public interest and sentiment towards Universal Basic Income (UBI) changed across all 50 states and Washington D.C. between 2018 and 2021. We specifically selected this time period as it includes both Andrew Yang’s UBI campaign during the Democratic primaries in 2019 and the COVID-19 pandemic in 2020 when UBI gained attention due to the federal government’s unconditional cash payment to almost all citizens. To overcome the limitations of sporadic opinion polls, we built on a recent development of the rescaling method to generate longitudinal Google Trends and conducted Twitter sentiment analysis. We observed a modest rise in public interest in UBI during Andrew Yang’s campaign, especially in blue states, and a significant increase across all states at the onset of the COVID-19 pandemic. Although it quickly waned, the level of public attention became elevated compared to the pre-pandemic level. Contrary to previous studies, our analysis also reveals that overall sentiment became less positive after the peak interest during the pandemic, as more people engaged in online discussions.

Suggested Citation

  • Lee Soomi & Park Taeyong, 2024. "Monitoring Public Interest and Sentiment on Basic Income: Using Google and Twitter Data in the U.S," Basic Income Studies, De Gruyter, vol. 19(1), pages 31-49, June.
    • Handle: RePEc:bpj:bistud:v:19:y:2024:i:1:p:31-49:n:3
    DOI: 10.1515/bis-2023-0002
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